MétaCan
Menu
Back to cohort
Record W2968929848 · doi:10.1111/pan.13716

A framework for the management of the pediatric airway

2019· article· en· W2968929848 on OpenAlexaff
Thomas Engelhardt, John E. Fiadjoe, Markus Weiß, Paul Baker, Stephanie Bew, Piedad Echeverry Marín, Britta S. von Ungern‐Sternberg

Bibliographic record

VenuePediatric Anesthesia · 2019
Typearticle
Languageen
FieldMedicine
TopicAirway Management and Intubation Techniques
Canadian institutionsMontreal Children's Hospital
FundersStan Perron Charitable FoundationChildren's Hospital Foundation
KeywordsMedicineAirway managementIntensive care medicineAirwaySurgery

Abstract

fetched live from OpenAlex

Critical airway incidents in children are a frequent problem in pediatric anesthesia and remain a significant cause of morbidity and mortality. Young children are at particular risk in the perioperative period. Delayed management of airway obstruction can quickly lead to serious complications due to the short apnea tolerance in children. A simple, time critical, and pediatric-specific airway management approach combined with dedicated teaching, training, and frequent practice will help to reduce airway-related pediatric morbidity and mortality. There is currently no pediatric-specific universal framework available to guide practice. Current algorithms are modifications of adult approaches which are often inappropriate because of differences in age-related anatomy, physiology, and neurodevelopment. A universal and pragmatic approach is required to achieve acceptance across diverse pediatric clinicians, societies, and groups. Such a framework will also help to establish minimum standards for pediatric airway equipment, personnel, and medications whenever pediatric airway management is required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.267
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations44
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePediatric AnesthesiaSame topicAirway Management and Intubation TechniquesFrench-language works237,207